An Investigation into the Analysis of Epidemiological Models

Coleman, Gerard J.

dc.contributor.author	Coleman, Gerard J.	*
dc.date.accessioned	2016-06-21T11:13:57Z	en
dc.date.available	2016-06-21T11:13:57Z	en
dc.date.issued	2015	en
dc.identifier.citation	Coleman, G. J. (2015). An investigation into the analysis of epidemiological models. (Master's thesis). University of Chester, United Kingdom.	en
dc.identifier.uri	http://hdl.handle.net/10034/613865	en
dc.description.abstract	This master's dissertation concentrates on how epidemics occur, and how we can predict the likely outcomes. We use mathematical models to analyse how different population groups interact, and how certain parameters can be pivotal in accurately predicting epidemics. Throughout this dissertation we will focus on work done in the book by Murray and the paper by Kermack and McKendrick. We study the Human Immunode ciency Virus (HIV), and discuss a population model which predicts how the virus behaves in a homosexual population. Then we then formulate a model of the biological make up of the disease. This enables us to evaluate the potential effects drug therapy can have in reducing the evolution of HIV into AIDS, and in reducing the spread of HIV within the population. We will evaluate how numerical approximations can provide an insight into how an epidemic may develop when analytic solutions cannot be obtained. Computed approximations will then be compared to explain the likely outcomes when an epidemic occurs.
dc.language.iso	en	en
dc.publisher	University of Chester	en
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	epidemiology	en
dc.subject	HIV	en
dc.title	An Investigation into the Analysis of Epidemiological Models	en
dc.type	Thesis or dissertation	en
dc.type.qualificationname	MSc	en
dc.type.qualificationlevel	Masters Degree	en
dc.description.advisor	Karakatsani, Fotini	en
html.description.abstract	This master's dissertation concentrates on how epidemics occur, and how we can predict the likely outcomes. We use mathematical models to analyse how different population groups interact, and how certain parameters can be pivotal in accurately predicting epidemics. Throughout this dissertation we will focus on work done in the book by Murray and the paper by Kermack and McKendrick. We study the Human Immunode ciency Virus (HIV), and discuss a population model which predicts how the virus behaves in a homosexual population. Then we then formulate a model of the biological make up of the disease. This enables us to evaluate the potential effects drug therapy can have in reducing the evolution of HIV into AIDS, and in reducing the spread of HIV within the population. We will evaluate how numerical approximations can provide an insight into how an epidemic may develop when analytic solutions cannot be obtained. Computed approximations will then be compared to explain the likely outcomes when an epidemic occurs.